iPhone 14 Pro Max
Geekbench ML Score
3440
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 03:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1245
232.9 IPS |
|
|
Image Classification (F16)
|
100% |
1306
244.4 IPS |
|
|
Image Classification (I8)
|
99% |
1521
284.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1156
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1221
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1183
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11404
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12167
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11988
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1348
100.6 IPS |
|
|
Object Detection (F16)
|
100% |
1343
100.3 IPS |
|
|
Object Detection (I8)
|
97% |
1446
108.0 IPS |
|
|
Face Detection (F32)
|
100% |
4928
58.6 IPS |
|
|
Face Detection (F16)
|
98% |
5641
67.1 IPS |
|
|
Face Detection (I8)
|
97% |
5849
69.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8827
68.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9296
72.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8742
67.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20980
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
23769
31.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23593
31.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4270
152.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4441
158.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4401
157.2 IPS |
|
|
Text Classification (F32)
|
100% |
2399
3.45 KIPS |
|
|
Text Classification (F16)
|
100% |
4232
6.08 KIPS |
|
|
Text Classification (I8)
|
96% |
4229
6.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
494
9.09 IPS |
|
|
Machine Translation (F16)
|
100% |
514
9.46 IPS |
|
|
Machine Translation (I8)
|
99% |
557
10.2 IPS |
